Build a Control Unit:
I am looking for a great Python Developer who has the following
Using the following :
1. Long short-term memory (LSTM) is an artificial recurrent neural network (RNN)
2. Fuzzy Neural Network
3. using Deep Neural Networks with TensorFlow
The problem is solved in the following steps:
• The simulator can be used to collect data by driving the car in the training mode using a joystick or keyboard, providing the so called “good-driving” behavior input data in form of a driving_log, JSON and a set of images. The simulator acts as a server and pipes these images and data to the Python client.
• The client (Python program) is the machine learning model built using Deep Neural Networks with TensorFlow. These models are developed on Keras (a high-level API over TensorFlow). Keras provides sequential models to build a linear stack of network layers.
• Once the model is trained, it provides steering angles and throttle to drive in an autonomous mode to the server (simulator).
• Inputs are piped back to the server and are used to drive the car autonomously in the simulator and keep it from falling off the track.